Top Tech Jobs & Startup Jobs

Lead design and implementation of enterprise-scale data and AI platforms (Databricks or GCP). Define scalable lakehouse architectures, governance, security, and operational frameworks. Drive adoption of Generative AI, LLMs, RAG, vector DBs and agentic AI, mentor engineering teams, and partner with stakeholders to prioritize data modernization and AI initiatives.

Design and implement scalable ETL pipelines in Databricks using PySpark; develop and optimize complex SQL and stored procedures; integrate diverse data sources into data warehouses; ensure data quality and performance tuning; troubleshoot Databricks ingestion and transformation issues; document processes and enforce best practices while mentoring team members.

Lead design and implement ETL pipelines using Informatica MDM, develop and optimize complex SQL/PLSQL/T-SQL stored procedures, model enterprise data warehouses, automate ingestion with Python, troubleshoot ETL performance, enforce data governance, and collaborate with cross-functional teams to ensure data quality and scalable modern data platform architectures.

Design, build, and optimize end-to-end Databricks Lakehouse data pipelines (batch and real-time) using PySpark, Delta Lake, DLT, Auto Loader and Structured Streaming. Implement Bronze/Silver/Gold layers, data models, governance with Unity Catalog, and orchestrate workflows. Collaborate with analysts and stakeholders to ensure performant, secure, and scalable data solutions.

Design and lead .NET backend microservices architectures ensuring scalability, security, and high performance. Guide engineering teams, translate business needs into technical designs, develop/optimize .NET/C# APIs, manage CI/CD pipelines, integrate SQL Server and Oracle databases, and implement containerization with Docker and Kubernetes. Oversee technical backlog and performance tuning.

The Director, Client Partner role at Brillio involves driving sales, fostering executive relationships, managing client accounts, and delivering superior customer experiences in the BFSI sector.

The role focuses on designing and deploying Agentic AI systems, developing AI agents using LLMs, and integrating retrieval systems while collaborating with cross-functional teams.

Design and govern end-to-end, cloud-native Azure solutions across web, API, backend, data, and AI layers. Define microservices, event-driven patterns, CI/CD/DevSecOps, and IaC. Lead conversational AI/RAG, LLM integrations, and healthcare API integrations. Mentor teams and ensure scalability, resilience, security, and observability.

Design, develop, and maintain scalable web applications and backend services on Azure. Build APIs and microservices, integrate conversational AI and RAG solutions, secure applications for healthcare data, deploy containerized workloads (AKS/OpenShift), enable CI/CD and observability, and produce testable, production-ready code following quality engineering practices.

Lead Salesforce practice strategy and technical solutioning, engage in presales and client workshops, define engineering vision and KPIs, drive AI-enabled Salesforce solutions, and provide technical leadership on complex, revenue-generating engagements while mentoring teams and supporting business development.